# thinkwee/AgentsMeetRL

Awesome List for Agentic RL

Repository: https://github.com/thinkwee/AgentsMeetRL
Canonical: https://ross.abutalabs.com/products/agentsmeetrl
Homepage: https://thinkwee.top/amr/
Language: HTML
License Family: other
Topics: agent, agentic-ai, agentic-coding, agentic-workflow, awesome-list, large-language-model, llm, multiagent, reinforcement, rlhf, rlvr, tool-learning, llm-age
Last push: 2026-08-11T09:12:42+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 32
- inputs: {"age_days": 450, "days_push": 22, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1799, forks 72 (observed 2026-08-28T04:05:37.791686+00:00)

## What it is
A curated awesome list of open-source repositories for training LLM agents with reinforcement learning, organized by taxonomy categories like frameworks, environments, rewards, and multi-agent systems. It includes an interactive dashboard and focuses on the RL frameworks, algorithms, rewards, and environments each listed project depends on.

## Use cases
- find open-source repos for training LLM agents with reinforcement learning
- survey RL frameworks and environments used by agentic LLM projects
- research RLHF and RLVR approaches for tool-using agents
- compare multi-turn and tool-integrated reasoning training setups
- discover agentic coding and search/RAG agent training projects
- find reward and environment designs for agent RL training

## When to choose
- you need a curated, categorized survey of agentic RL repositories
- you're researching technical choices (frameworks, rewards, environments) of agent RL projects
- you want a regularly updated list with an interactive dashboard

## When to avoid
- you need runnable software rather than a reference list
- you need guaranteed-complete or fully verified coverage, since entries are LLM-assisted and may contain errors

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-training, reinforcement-learning, rag
- domain: artificial-intelligence, large-language-models, reinforcement-learning, awesome-lists
- platform: -
- tags: awesome-list, agentic-rl, rlhf, rlvr, tool-learning, multi-agent, curated-resources, llm-agents, ai-agents, web

## Member repositories
- thinkwee/AgentsMeetRL (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.791686+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:22:18.148898+00:00, confidence not recorded.
  - readme: https://github.com/thinkwee/AgentsMeetRL (fetched 2026-08-28T04:05:37.791686+00:00, sha 623432833468)
  - homepage: https://thinkwee.top/amr/ (fetched 2026-08-29T11:01:10.064305+00:00, sha 34a3dc119b24)
- Data as of 2026-08-30T08:39:29.467469+00:00.